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This data layer depicts lands and waters owned and administered by the U.S. Fish and Wildlife Service (USFWS) at Modoc National Wildlife Refuge. It is current to the date specified and may be subject to change in the future.
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This data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions. Private inholdings have been removed from this dataset. The primary source for this information is the USFWS Realty program.
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This dataset shows modelled habitat suitability for the Osprey (Pandion haliaetus) under current and projected future conditions. We built habitat suitability models for 237 bird, 117 mammal, and 12 amphibian species. Species were chosen for inclusion in the study based on a simple set of criteria. For a species to be included in the study, it had to be primarily associated with terrestrial habitats, have a digital map of its current range, and have some portion of its current distribution intersect with the study area extent. In addition, we restricted the list of species used in the study to those for which a well-performing continental-scale model could be built. Digital species range maps were converted from...
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This dataset shows modelled habitat suitability for the American Marten (Martes americana) under current and projected future conditions. We built habitat suitability models for 237 bird, 117 mammal, and 12 amphibian species. Species were chosen for inclusion in the study based on a simple set of criteria. For a species to be included in the study, it had to be primarily associated with terrestrial habitats, have a digital map of its current range, and have some portion of its current distribution intersect with the study area extent. In addition, we restricted the list of species used in the study to those for which a well-performing continental-scale model could be built. Digital species range maps were converted...
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This set of 4 rasters shows summer (Jun to Aug) mean temperature (deg C * 10) for Western North America under the A2 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published...
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There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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We used a combination of remotely sensed habitat characteristics, previously determined by other investigators for predicting King Rail nesting propensity in rice, to create a habitat suitability index (HSI) for the major rice growing regions in coastal Texas and Louisiana. The HSI combines estimates of the maximum extent of rice agriculture at a 5 kilometer (km) scale, proportion of tree canopy at a 1 km scale, and ditch density at a 1 km scale. This HSI can be used to identify priority areas for maintaining, increasing, and enhancing rice agriculture in the King Rail’s range in coastal Texas and Louisiana, as well as a tool to rank proposals for conservation incentives available through the Farm Bill, or other...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
map background search result map search result map Summer (Jun to Aug) Mean Temperature under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Osprey (Pandion haliaetus) Habitat Suitability Change Models American Marten (Martes americana) Habitat Suitability Change Models Historical Changes in Shoreline in the Gulf of Mexico FwsInterest - Federal Interest Boundary data for Modoc National Wildlife Refuge Federal Interest Boundary, Klamath Marsh National Wildlife Refuge NOAA Sea Level Rise Data (1-6 ft) for Seal Beach National Wildlife Refuge Sea-Level Affecting Marshes Model 1.2m SLR - 2100 Habitat Suitability Index Model for Breeding King Rail (Rallus elegans) in Rice Agriculture, in the Gulf Coast Joint Venture Region FwsInterest - Federal Interest Boundary data for Modoc National Wildlife Refuge Historical Changes in Shoreline in the Gulf of Mexico Habitat Suitability Index Model for Breeding King Rail (Rallus elegans) in Rice Agriculture, in the Gulf Coast Joint Venture Region Sea-Level Affecting Marshes Model 1.2m SLR - 2100 Osprey (Pandion haliaetus) Habitat Suitability Change Models American Marten (Martes americana) Habitat Suitability Change Models NOAA Sea Level Rise Data (1-6 ft) for Seal Beach National Wildlife Refuge Summer (Jun to Aug) Mean Temperature under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble)